Extract estimates and confidence intervals for transition intensities (or
misclassification probabilities), and their covariate effects, in a tidy
matrix format with one row per transition. This is used by the print method
(print.msm) for msm objects. Covariate effects are
returned as hazard or odds ratios, not on the log scale.
Usage
msm.form.qoutput(x, covariates = "mean", cl = 0.95, digits = 4, ...)
msm.form.eoutput(x, covariates = "mean", cl = 0.95, digits = 4, ...)Arguments
- x
A fitted multi-state model object, as returned by
msm.- covariates
Covariate values defining the "baseline" parameters (see
qmatrix.msm).- cl
Width of the symmetric confidence interval to present. Defaults to 0.95.
- digits
Minimum number of significant digits for the formatted character matrix returned as an attribute. This is passed to
format. Defaults to 4.- ...
Other arguments to be passed to
format.
Value
A numeric matrix with one row per transition, and one column for
each estimate or confidence limit. The "formatted" attribute
contains the same results formatted for pretty printing.
msm.form.qoutput returns the transition intensities and their
covariates, and msm.form.eoutput returns the misclassification
probabilities and their covariates.
Author
C. H. Jackson chris.jackson@mrc-bsu.cam.ac.uk